Tuning Of Analog Controllers For Superheated Steam Temperature System Using Genetic Algorithm

Yasmine begum*, Venkata Marutheswar**
* Assistant Professor, Department of Electronics and Instrumentation Engineering, Sree Vidyanikethan Engineering College, Tirupati, India.
** Professor, Department of Electrical and Electronics Engineering, S.V. University, Tirupati, India.
Periodicity:May - July'2013
DOI : https://doi.org/10.26634/jic.1.3.2351

Abstract

This paper explains the tuning of analog controllers P, PI and PID for superheated steam temperature system using Genetic Algorithm based on ISE, IAE and ITAE as the objective function. The analog controllers have a wide range of applications in industrial control. The fifth order model of superheated steam temperature system is taken for study. Most –τs of the tuning algorithms are based on FOPTD models which is given by G(s) = Ke /(Ts+1). If the plant is not approximated well to FOPTD model, good controllers may not be designed using existing algorithms. Genetic algorithm is a stochastic algorithm based on principles of natural selection and genetics. To tune the analog controllers using genetic algorithm, it does not require any FOPTD model. Hence the analog controllers P, PI and PID are tuned using genetic algorithm for superheated steam temperature system and the results are compared

Keywords

First Order Plus Time Delay (FOPTD), Proportional Integral Derivative (PID), Integral Square Error (ISE), Integral Of The Time-Weighted Absolute Error, Superheated Steam Temperature System (SHS).

How to Cite this Article?

Begum, A.Y., and Marutheswar, G.V. (2013). Tuning of Analog Controllers for Superheated Steam Temperature System using Genetic Algorithm. i-manager’s Journal on Instrumentation and Control Engineering, 1(3), 8-13. https://doi.org/10.26634/jic.1.3.2351

References

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